Qinglai Wei
Orcid: 0000-0001-7002-9800
According to our database1,
Qinglai Wei
authored at least 197 papers
between 2007 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Stability analysis of a flocculation model incorporating cell size, time delay, and control.
Appl. Math. Lett., 2025
2024
Adaptive Dynamic Programming for Robust Event-Driven Tracking Control of Nonlinear Systems With Asymmetric Input Constraints.
IEEE Trans. Cybern., November, 2024
Observer-Based Optimal Backstepping Security Control for Nonlinear Systems Using Reinforcement Learning Strategy.
IEEE Trans. Cybern., November, 2024
A Novel Parallel Control Method for Optimal Consensus of Nonlinear Multiagent Systems.
IEEE Trans. Cybern., October, 2024
Initial Excitation-Based Optimal Control for Continuous-Time Linear Nonzero-Sum Games.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024
Isoperimetric Constraint Inference for Discrete-Time Nonlinear Systems Based on Inverse Optimal Control.
IEEE Trans. Cybern., September, 2024
Online Off-Policy Reinforcement Learning for Optimal Control of Unknown Nonlinear Systems Using Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., August, 2024
Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications.
IEEE Trans. Cybern., August, 2024
IEEE Trans. Cybern., July, 2024
Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems.
IEEE Trans Autom. Sci. Eng., July, 2024
Deep Reinforcement Learning or Lyapunov Analysis? A Preliminary Comparative Study on Event-Triggered Optimal Control.
IEEE CAA J. Autom. Sinica, July, 2024
A Self-Attention-Based Deep Reinforcement Learning Approach for AGV Dispatching Systems.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
Mach. Intell. Res., June, 2024
Fixed-Time Antidisturbance Consensus Tracking for Nonlinear Multiagent Systems with Matching and Mismatching Disturbances.
IEEE CAA J. Autom. Sinica, June, 2024
Optimal Spin Polarization Control for the Spin-Exchange Relaxation-Free System Using Adaptive Dynamic Programming.
IEEE Trans. Neural Networks Learn. Syst., May, 2024
Constrained-Cost Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
Dynamic Event-Sampled Control of Interconnected Nonlinear Systems Using Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
VGN: Value Decomposition With Graph Attention Networks for Multiagent Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024
Online Adaptive Dynamic Programming for Optimal Self-Learning Control of VTOL Aircraft Systems With Disturbances.
IEEE Trans Autom. Sci. Eng., January, 2024
Multistep Look-Ahead Policy Iteration for Optimal Control of Discrete-Time Nonlinear Systems With Isoperimetric Constraints.
IEEE Trans. Syst. Man Cybern. Syst., 2024
Neural Networks, 2024
Nearly optimal stabilization of unknown continuous-time nonlinear systems: A new parallel control approach.
Neurocomputing, 2024
A novel energy management method for multiple residential energy systems with energy exchange.
Neurocomputing, 2024
2023
Neural Networks, November, 2023
IEEE Trans. Syst. Man Cybern. Syst., October, 2023
IEEE Trans. Syst. Man Cybern. Syst., September, 2023
IEEE Trans. Syst. Man Cybern. Syst., July, 2023
IEEE Trans. Ind. Informatics, July, 2023
A Novel Parallel Control Method for Continuous-Time Linear Output Regulation With Disturbances.
IEEE Trans. Cybern., June, 2023
Event-triggered near-optimal tracking control based on adaptive dynamic programming for discrete-time systems.
Neurocomputing, June, 2023
A Novel Data-Based Fault-Tolerant Control Method for Multicontroller Linear Systems via Distributed Policy Iteration.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Event-Triggered Deep Reinforcement Learning Using Parallel Control: A Case Study in Autonomous Driving.
IEEE Trans. Intell. Veh., April, 2023
Event-Triggered Near-Optimal Control for Unknown Discrete-Time Nonlinear Systems Using Parallel Control.
IEEE Trans. Cybern., March, 2023
2022
Adaptive Critics for Decentralized Stabilization of Constrained-Input Nonlinear Interconnected Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Topology Prediction and Structural Controllability Analysis of Complex Networks Without Connection Information.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game.
IEEE Trans. Neural Networks Learn. Syst., 2022
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2022
Event-Triggered Near-Optimal Control of Discrete-Time Constrained Nonlinear Systems With Application to a Boiler-Turbine System.
IEEE Trans. Ind. Informatics, 2022
A New Approach to Finite-Horizon Optimal Control for Discrete-Time Affine Nonlinear Systems via a Pseudolinear Method.
IEEE Trans. Autom. Control., 2022
Parallel cognition: hybrid intelligence for human-machine interaction and management.
Frontiers Inf. Technol. Electron. Eng., 2022
Frontiers Inf. Technol. Electron. Eng., 2022
Optimal synchronization control for multi-agent systems with input saturation: a nonzero-sum game.
Frontiers Inf. Technol. Electron. Eng., 2022
Event-triggered optimal control for discrete-time multi-player non-zero-sum games using parallel control.
Inf. Sci., 2022
A New Neuro-Optimal Nonlinear Tracking Control Method via Integral Reinforcement Learning with Applications to Nuclear Systems.
Neurocomputing, 2022
Monte Carlo-based reinforcement learning control for unmanned aerial vehicle systems.
Neurocomputing, 2022
Data-driven adaptive-critic optimal output regulation towards water level control of boiler-turbine systems.
Expert Syst. Appl., 2022
Multi-Viewpoint and Multi-Evaluation with Felicitous Inductive Bias Boost Machine Abstract Reasoning Ability.
CoRR, 2022
Adaptive Event-Triggered Near-Optimal Tracking Control for Unknown Continuous-Time Nonlinear Systems.
IEEE Access, 2022
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Adaptive Critic Learning for Constrained Optimal Event-Triggered Control With Discounted Cost.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Ind. Informatics, 2021
Self-Learning Optimal Control for Ice-Storage Air Conditioning Systems via Data-Based Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2021
IEEE Trans. Ind. Electron., 2021
IEEE Trans. Cybern., 2021
IEEE Trans. Cybern., 2021
A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method.
J. Frankl. Inst., 2021
A partial policy iteration ADP algorithm for nonlinear neuro-optimal control with discounted total reward.
Neurocomputing, 2021
Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances.
IEEE CAA J. Autom. Sinica, 2021
Proceedings of the Advances in Swarm Intelligence - 12th International Conference, 2021
YOLOv4 Based Deep Learning Algorithm for Defects Detection and Classification of Rail Surfaces.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Optimal Tracking Control of the Boiler-turbine System Based on Adaptive Dynamic Programming.
Proceedings of the International Joint Conference on Neural Networks, 2021
Policy Iteration Algorithm for Constrained Cost Optimal Control of Discrete-Time Nonlinear System.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021
2020
IEEE Trans. Syst. Man Cybern. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Inf. Sci., 2020
Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy.
Neurocomputing, 2020
Neurocomputing, 2020
Int. J. Control, 2020
IEEE CAA J. Autom. Sinica, 2020
IEEE CAA J. Autom. Sinica, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Neurocomputing, 2019
Parallel Adaptive Critic Designs of Optimal Control for Ice-Storage Air Conditioning Systems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Distributed Adaptive Dynamic Programming Algorithm for Office Energy Control with Multiple Batteries.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Convergence Analysis.
IEEE Trans. Syst. Man Cybern. Syst., 2018
Discrete-Time Stable Generalized Self-Learning Optimal Control With Approximation Errors.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Reinforcement learning for robust adaptive control of partially unknown nonlinear systems subject to unmatched uncertainties.
Inf. Sci., 2018
Residential energy scheduling for variable weather solar energy based on adaptive dynamic programming.
IEEE CAA J. Autom. Sinica, 2018
Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
2017
Discrete-Time Local Value Iteration Adaptive Dynamic Programming: Admissibility and Termination Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2017
Off-Policy Integral Reinforcement Learning Method to Solve Nonlinear Continuous-Time Multiplayer Nonzero-Sum Games.
IEEE Trans. Neural Networks Learn. Syst., 2017
Adaptive Dynamic Programming-Based Optimal Control Scheme for Energy Storage Systems With Solar Renewable Energy.
IEEE Trans. Ind. Electron., 2017
Error-Tolerant Iterative Adaptive Dynamic Programming for Optimal Renewable Home Energy Scheduling and Battery Management.
IEEE Trans. Ind. Electron., 2017
Mixed Iterative Adaptive Dynamic Programming for Optimal Battery Energy Control in Smart Residential Microgrids.
IEEE Trans. Ind. Electron., 2017
IEEE Trans. Cybern., 2017
Discrete-Time Optimal Control via Local Policy Iteration Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2017
Optimization of electricity consumption in office buildings based on adaptive dynamic programming.
Soft Comput., 2017
Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration.
Neural Comput. Appl., 2017
A novel optimal tracking control scheme for a class of discrete-time nonlinear systems using generalised policy iteration adaptive dynamic programming algorithm.
Int. J. Syst. Sci., 2017
Neural-network-based synchronous iteration learning method for multi-player zero-sum games.
Neurocomputing, 2017
Optimal constrained self-learning battery sequential management in microgrid via adaptive dynamic programming.
IEEE CAA J. Autom. Sinica, 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
A reinforcement learning approach for sequential decision-making process of attacks in smart grid.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Distributed control of leader-follower systems under adversarial inputs using reinforcement learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Local Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
A Generalized Policy Iteration Adaptive Dynamic Programming Algorithm for Optimal Control of Discrete-Time Nonlinear Systems with Actuator Saturation.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
An Event-Triggered Heuristic Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Batch Process Fault Monitoring Based on LPGD-kNN and Its Applications in Semiconductor Industry.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Neural-Network-Based Distributed Adaptive Robust Control for a Class of Nonlinear Multiagent Systems With Time Delays and External Noises.
IEEE Trans. Syst. Man Cybern. Syst., 2016
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP.
IEEE Trans. Neural Networks Learn. Syst., 2016
Value Iteration Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems.
IEEE Trans. Cybern., 2016
Off-Policy Actor-Critic Structure for Optimal Control of Unknown Systems With Disturbances.
IEEE Trans. Cybern., 2016
Neuro-optimal tracking control for a class of discrete-time nonlinear systems via generalized value iteration adaptive dynamic programming approach.
Soft Comput., 2016
ADP-based optimal sensor scheduling for target tracking in energy harvesting wireless sensor networks.
Neural Comput. Appl., 2016
Adaptive tracking control of leader-following linear multi-agent systems with external disturbances.
Int. J. Syst. Sci., 2016
Guaranteed cost neural tracking control for a class of uncertain nonlinear systems using adaptive dynamic programming.
Neurocomputing, 2016
Neurocomputing, 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Discrete-Time Two-Player Zero-Sum Games for Nonlinear Systems Using Iterative Adaptive Dynamic Programming.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016
Optimal self-learning control scheme for discrete-time nonlinear systems using local value iteration.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
An adaptive dynamic programming based method for optimization of electricity consumption in office buildings.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Optimal Constrained Neuro-Dynamic Programming Based Self-learning Battery Management in Microgrids.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Generalized Policy Iteration Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2015
Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015
Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data.
IEEE Trans. Neural Networks Learn. Syst., 2015
Multibattery Optimal Coordination Control for Home Energy Management Systems via Distributed Iterative Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2015
A Novel Dual Iterative Q-Learning Method for Optimal Battery Management in Smart Residential Environments.
IEEE Trans. Ind. Electron., 2015
Reinforcement-Learning-Based Robust Controller Design for Continuous-Time Uncertain Nonlinear Systems Subject to Input Constraints.
IEEE Trans. Cybern., 2015
Optimal distributed synchronization control for continuous-time heterogeneous multi-agent differential graphical games.
Inf. Sci., 2015
Neurocomputing, 2015
Neural-network-based adaptive optimal tracking control scheme for discrete-time nonlinear systems with approximation errors.
Neurocomputing, 2015
Nearly finite-horizon optimal control for a class of nonaffine time-delay nonlinear systems based on adaptive dynamic programming.
Neurocomputing, 2015
A novel policy iteration based deterministic Q-learning for discrete-time nonlinear systems.
Sci. China Inf. Sci., 2015
A New Discrete-Time Iterative Adaptive Dynamic Programming Algorithm Based on Q-Learning.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
Robust Tracking Control of Uncertain Nonlinear Systems Using Adaptive Dynamic Programming.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems.
IEEE Trans. Neural Networks Learn. Syst., 2014
Data-Driven Neuro-Optimal Temperature Control of Water-Gas Shift Reaction Using Stable Iterative Adaptive Dynamic Programming.
IEEE Trans. Ind. Electron., 2014
Finite-Approximation-Error-Based Discrete-Time Iterative Adaptive Dynamic Programming.
IEEE Trans. Cybern., 2014
A Novel Iterative $\theta $-Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems.
IEEE Trans Autom. Sci. Eng., 2014
Adaptive Dynamic Programming for Optimal Tracking Control of Unknown Nonlinear Systems With Application to Coal Gasification.
IEEE Trans Autom. Sci. Eng., 2014
Neural-network-based approach to finite-time optimal control for a class of unknown nonlinear systems.
Soft Comput., 2014
Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning.
Neural Networks, 2014
Stable iterative adaptive dynamic programming algorithm with approximation errors for discrete-time nonlinear systems.
Neural Comput. Appl., 2014
Data-based analysis of discrete-time linear systems in noisy environment: Controllability and observability.
Inf. Sci., 2014
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
Near-optimal online control of uncertain nonlinear continuous-time systems based on concurrent learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Neural-network-based optimal control for a class of complex-valued nonlinear systems with input saturation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Discrete-Time Nonlinear Generalized Policy Iteration for Optimal Control Using Neural Networks.
Proceedings of the Neural Information Processing - 21st International Conference, 2014
Optimal self-learning battery control in smart residential grids by iterative Q-learning algorithm.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
IEEE Trans. Ind. Informatics, 2013
Finite-Approximation-Error-Based Optimal Control Approach for Discrete-Time Nonlinear Systems.
IEEE Trans. Cybern., 2013
Multi-objective optimal control for a class of nonlinear time-delay systems via adaptive dynamic programming.
Soft Comput., 2013
Dual iterative adaptive dynamic programming for a class of discrete-time nonlinear systems with time-delays.
Neural Comput. Appl., 2013
Neural Comput. Appl., 2013
Neural-network-observer-based optimal control for unknown nonlinear systems using adaptive dynamic programming.
Int. J. Control, 2013
Adaptive Dynamic Programming Algorithm for Renewable Energy Scheduling and Battery Management.
Cogn. Comput., 2013
Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
Neuro-control to Energy Minimization for a Class of Chaotic Systems Based on ADP Algorithm.
Proceedings of the Intelligence Science and Big Data Engineering, 2013
Convergence analysis of continuous-time systems based on feedforward neural networks.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Stable iterative optimal control for discrete-time nonlinear systems using numerical controller.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2013
Neuro-Optimal Control of Unknown Nonaffine Nonlinear Systems with Saturating Actuators.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
A New Self-Learning Optimal Control Scheme for Discrete-Time Nonlinear Systems Using Policy Iterative Adaptive Dynamic Programming.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013
Optimal Tracking Control for a Class of Nonlinear Time-Delay Systems with Actuator Saturation.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2013
2012
Neural-Network-Based Optimal Control for a Class of Unknown Discrete-Time Nonlinear Systems Using Globalized Dual Heuristic Programming.
IEEE Trans Autom. Sci. Eng., 2012
An iterative <i>ϵ</i>-optimal control scheme for a class of discrete-time nonlinear systems with unfixed initial state.
Neural Networks, 2012
Finite-horizon neuro-optimal tracking control for a class of discrete-time nonlinear systems using adaptive dynamic programming approach.
Neurocomputing, 2012
Optimal control of unknown nonaffine nonlinear discrete-time systems based on adaptive dynamic programming.
Autom., 2012
Self-learning Control Schemes for Two-Person Zero-Sum Differential Games of Continuous-Time Nonlinear Systems with Saturating Controllers.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Adaptive dynamic programming with stable value iteration algorithm for discrete-time nonlinear systems.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Nearly Optimal Control for Nonlinear Systems with Dead-Zone Control Input Based on the Iterative ADP Approach.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Generalized Hamilton-Jacobi-Isaacs Formulation-Based Neural Network H ∞ Control for Constrained Input Nonlinear Systems.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Optimal Tracking Control for a Class of Nonlinear Discrete-Time Systems With Time Delays Based on Heuristic Dynamic Programming.
IEEE Trans. Neural Networks, 2011
An iterative adaptive dynamic programming method for solving a class of nonlinear zero-sum differential games.
Autom., 2011
Finite Horizon Optimal Tracking Control for a Class of Discrete-Time Nonlinear Systems.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Optimal control for discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
Optimal control laws for time-delay systems with saturating actuators based on heuristic dynamic programming.
Neurocomputing, 2010
Adaptive dynamic programming for a class of discrete-time non-affine nonlinear systems with time-delays.
Proceedings of the International Joint Conference on Neural Networks, 2010
An iterative ADP approach for solving a class of nonlinear zero-sum differential games.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2010
2009
Model-free multiobjective approximate dynamic programming for discrete-time nonlinear systems with general performance index functions.
Neurocomputing, 2009
Robust adaptive tracking controller design for non-affine non-linear systems with state time-varying delay and unknown dead-zone.
Int. J. Intell. Syst. Technol. Appl., 2009
2008
A Novel Infinite-Time Optimal Tracking Control Scheme for a Class of Discrete-Time Nonlinear Systems via the Greedy HDP Iteration Algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 2008
Adaptive Dynamic Programming for a Class of Nonlinear Control Systems with General Separable Performance Index.
Proceedings of the Advances in Neural Networks, 2008
A New Approach to Solve a Class of Continuous-Time Nonlinear Quadratic Zero-Sum Game Using ADP.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008
2007
On-Line Learning Control for Discrete Nonlinear Systems Via an Improved ADDHP Method.
Proceedings of the Advances in Neural Networks, 2007